Senior Engineer, Model Serving
Databricks11 months ago
Base Salary
$166k - $225k/yr
Responsibilities
- Design and implement scalable, reliable core systems and APIs for Databricks Model Serving.
- Drive architectural decisions and optimize performance, throughput, autoscaling, and operational efficiency for CPU and GPU workloads.
- Develop serving infrastructure components including model container builds, deployment workflows, routing, caching, observability, and intelligent autoscaling.
- Collaborate with product, platform, infrastructure, and research teams to deliver reliable and performant systems.
- Lead initiatives improving latency, availability, and cost-effectiveness across serving layers.
- Establish practices for code quality, testing, and operational readiness, and mentor engineers through design reviews and technical guidance.
Requirements
- At least 5 years of experience building and operating large-scale distributed systems.
- Experience with model serving, inference systems, or related infrastructure such as routing, scheduling, autoscaling, and observability.
- Strong foundation in algorithms, data structures, and system design for large-scale, low-latency serving systems.
- Experience architecting large-scale, performance-sensitive CPU/GPU inference systems.
- Demonstrated ability to deliver technically complex, high-impact initiatives with measurable customer or business value.
- Strong communication and cross-functional collaboration skills.
- Customer-focused mindset and ability to align implementation details with product goals.
- Interest in mentoring engineers and fostering technical excellence.
Benefits
- Comprehensive employee benefits and perks, with region-specific details available through Databricks' benefits portal.
Tech Stack
Apache SparkMLflow
Categories
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and over 60% of the Fortune 500 — rely on Databricks to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified Data Intelligence Platform that includes Agent Bricks, Lakeflow, Lakehouse, Lakebase and Unity Catalog. --- Databricks applicants Please apply through our official Careers page at databricks.com/company/careers. All official communication from Databricks will come from email addresses ending with @databricks.com or @goodtime.io (our meeting tool).